Why Businesses Should Use Media Intelligence

Every day we create 2.5 quintillion bytes of data, a figure that’s only increasing. To make informed decisions, organizations must invest in technologies that allow them to analyze this data effectively. With such large amounts of data involved, traditional manual techniques are no longer viable if we want to capture even the smallest percentage of this information. This is why organizations are turning to AI-driven media monitoring and media intelligence. There’s still confusion and uncertainty about what exactly AI technology is, what it can do, and how it can impact business strategies.

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Why Unstructured Data is Big for Business

The rise of big data has propelled new conversations around how we source, organize and analyze information. With advances in natural language processing, machine learning and artificial intelligence, organizations are now able to apply computational power to process large amounts of unstructured data, something that was previously beyond our capabilities.

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The Uphill Battle of Keeping Local News Afloat

When the Greenwood, SC newspaper Index-Journal reported on a complaint that Dairy Queen was apparently serving up human meat in its burgers, they weren’t expecting to go viral. Unsurprisingly, the complaint was revealed to be baseless. But the story captured the imaginations of the online world – being shared widely across social media before ultimately being covered by the Washington Post.

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Contexture Launches Mediawatch: A Real-Time, AI-Driven News and Content Monitoring, Creation and Analysis Tool

VA-based technology company Contexture has launched a powerful AI media monitoring and analysis tool to help public relations and communications teams with a focus on digital media, publishing and information services to strategically monitor, analyze, create and respond to news, media and social content.

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